DevOps Engineer

Razorpay today processes $150 Billion+ payments for 10 million+ businesses across 4 continents. The company enables businesses to accept, process, and disburse payments at scale, while helping them manage their finances. We are the leading Payments and Neobanking provider in India and are one of the fastest growing payments providers across South East Asia. We have been the first to bring to market major innovations in India and Malaysia.

Razorpay has raised USD $700M+ in funding till date from marquee investors like GIC, Sequoia Capital, Tiger Global, Ribbit Capital, YC, Matrix Partners and many stellar angels.

As part of its ambitious growth strategy in Southeast Asia, Razorpay acquired Curlec in Malaysia. Since making the acquisition, Curlec by Razorpay has received an acquiring license by Bank Negara and is a registered member of Paynet. The Malaysia market presents a unique opportunity for Razorpay Curlec due to its rapid digitalization and growing e-commerce ecosystem. Razorpay Curlec aims to become the preferred payment partner for businesses across Malaysia, offering them the same level of reliability, security, and convenience that has made Razorpay a trusted name in India. We also live in Singapore with plans of expansion to Thailand, Indonesia and the rest of SEA.

About the Role

DevOps engineer is critical to the project’s overall success, right from planning to supporting primary KPI as customer satisfaction and productivity. A DevOps Engineering Expert has an essential role in integrating the project functions and resources across the product life cycle, right from planning, building, testing, and deployment to support.

Location & Commitments

• Permanent full time role based at our office - Kuala Lumpur (Mondays to Fridays)

Responsibilities

• Build and maintain the cloud infra environments
• Ensuring availability, performance, security, and scalability of production systems.
• Collaborate with application teams to apply DevOps practices in the development lifecycle
• Ability to create solution prototypes and conduct proof of concept of new tools
• Design repeatable, automated, and scalable processes to increase efficiency and improve software quality such as managing Infrastructure as Code & work on internal tooling which simplifies workflows.
• Automate and streamline our operations and processes.
• Troubleshoot and diagnose issues / outages and Provide operational support
• Engage in incident handling, especially supporting a culture of post-mortem and knowledge sharing
• Design, develop, and implement AI-powered agents and agentic automation solutions for DevOps operations, including infrastructure management, monitoring, troubleshooting, incident response, and deployment workflows.

Requirements

• 1-3 years of hands-on experience in DevOps/Currently practicing DevOps methodology.
• Proven experience with cloud infrastructure preferably AWS
• Working knowledge of containerization (Docker, Kubernetes) and orchestration technologies
• Demonstrable hands-on proficiency in AI technologies, with practical experience building and implementing AI agents/agentic workflows for DevOps, cloud infrastructure, automation, or IT operations.
• Hands-on experience in any Configuration Management like Puppet/Chef/Ansible.
• Ability to do scripting (any one of Shell, Ruby, Perl, Python, golang, etc.).
• Troubleshooting and system engineering exposure in Linux production environments.
• Comfortable working in a fast-paced environment while continuously evaluating emerging technologies
• Strong communication and analytical/problem-solving skills
• Good to have experience in database technologies (MariaDB/MySQL, etc)
• Knowledge of CI/CD, Logging, and Monitoring stack.
• Should be well versed with IaaC specially Terraform
• Should be well versed with networking at AWS
• Should be able to manage infrastructure operations at the bank
• Have a few weekend side projects up on GitHub
• Have contributed to an open-source project
• Have worked at a product company
• Have a working knowledge of a backend programming language